Senior Data Engineer

Job Title: Senior Data Engineer

Location: Bangalore, India

Experience: 7-9 Years

Company: Censis

About Censis

Censis Technologies (https://www.censis.com/) is a global leader in surgical instrument tracking and asset management solutions. At the forefront of healthcare innovation, Censis is renowned for engineering a surgical asset management system that tracks down to the instrument and patient levels, continually setting the standards for the sterile processing industry. By investing in technology, ease of integration, education, and support, Censis empowers hospitals and healthcare providers to stay compliant and ahead of healthcare’s rapidly changing environment. With Censis, you’re positioned to start ahead and stay ahead, no matter what the future holds.

Role Overview

Censis is seeking a skilled and dynamic Data Engineer to design, build, and maintain efficient data pipelines and systems. The ideal candidate will have a solid foundation in data engineering, ETL processes, and cloud-based data management, with a focus on performance optimization and data quality. This role requires a detail-oriented professional with strong problem-solving skills and the ability to work collaboratively with cross-functional teams.

Data Pipeline Development

• Design, develop, and optimize ETL/ELT processes using SQL Server, Azure Data Factory, Synapse, Snowflake, or equivalent tools.
• Build and maintain data pipelines to support real-time and batch processing needs, with a preference for Azure Data Stack, especially Microsoft Fabric.
• Implement data transformations, cleansing, and quality checks to ensure data integrity and reliability.

Cloud Integration & Management

• Integrate on-premises data sources with cloud-based solutions using Azure services such as Azure Data Factory, ODG(On prem data Gateway), Synapse, Azure Fabrics, and Snowflake, as well as AWS when necessary.
• Manage and maintain data lakes, lakehouses, Microsoft Fabric, and data warehouses in cloud environments.
• Ensure data availability, lineage, and performance across all data platforms with a focus on Azure technologies.

Collaboration & Support

• Work closely with data architects, analysts, and BI developers to implement data solutions that meet business requirements, emphasizing Azure Data Stack capabilities and Snowflake integration.
• Collaborate with stakeholders to translate business needs into technical solutions.

Monitoring & Optimization

• Monitor data pipeline performance and troubleshoot issues to ensure optimal operation, leveraging Azure monitoring tools capabilities.
• Optimize data storage and retrieval mechanisms for enhanced system performance, focusing on Azure technologies.
• Maintain comprehensive documentation of data workflows, processes, and system architecture.

Required Skills & Qualifications

• Experience: 7-9 years in data engineering or related fields.
• Data Engineering: Proficient in designing and implementing ETL/ELT processes using SQL Server and cloud-based tools, with a preference for Azure Data Factory, Synapse, and Microsoft Fabric. 
• Data platforms: Strong experience with data platforms such as Microsoft Fabric, Azure Data Gateway, Azure Synapse, or Snowflake and Databricks.
• Programming: Expertise in Python, T-SQL, Spark, or other scripting languages for data transformation.
• Data Quality: Strong understanding of data quality checks and best practices.
• Communication: Excellent verbal and written communication skills, with the ability to convey technical information in business terms.
• Methodologies: Experience with Agile/Scrum project delivery is a plus.

Good to Have

• Certifications: Microsoft certifications in Azure or related technologies are a plus.
• Tools: Experience with Power BI and integration with Azure cloud data platforms, particularly Microsoft Fabric.

Fortive Corporation Overview

Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.

We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.

We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

Equal Opportunity Employer

Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities.

Compensation

This position is eligible for a bonus as part of the total compensation package.